Improving Green Computing in Business Intelligence by Measuring Performance of Reverse Supply Chains

Maulida Butar Butar ., David Sanders .


Increasing attention has been given to green
computing in Business Intelligence. This paper specifically
considers the measurement of performance in the reverse
supply chain. That is because of the increasing value of
products and technology at the end of general direct supply
chains as well as the impact of new green legislation. Unlike
forward supply chains, design strategies for reverse supply
chains are relatively unexplored and underdeveloped.
Meanwhile measuring supply chain performance is becoming
important as the need for data in business intelligence systems
increases and the understanding, collaboration and integration
increases between supply chain members. It also helps
companies to target the most profitable market segments or
identify a suitable service definition. This paper describes a
synthesis of known theory concerning measuring performance
and assesses the state of the art. Strengths and gaps are
identified. Some initial results are presented for measuring
supply performance in reverse supply chains (using robust
methods) and are outlined future research needs.

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